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» Debugging Program Loops Using Approximate Modeling
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EMNLP
2010
14 years 8 months ago
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
André F. T. Martins, Noah A. Smith, Eric P....
SMA
2010
ACM
231views Solid Modeling» more  SMA 2010»
14 years 10 months ago
Conservative swept volume boundary approximation
We present a novel technique for approximating the boundary of a swept volume. The generator given by an input triangle mesh is rendered under all rigid transformations of a discr...
Andreas von Dziegielewski, R. Erbes, Elmar Sch&oum...
TVCG
2012
201views Hardware» more  TVCG 2012»
13 years 10 days ago
Exact and Approximate Area-Proportional Circular Venn and Euler Diagrams
— Scientists conducting microarray and other experiments use circular Venn and Euler diagrams to analyze and illustrate their results. As one solution to this problem, this artic...
Leland Wilkinson
FOCS
2005
IEEE
15 years 3 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
DAGSTUHL
2007
14 years 11 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys